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Mastering Predictive Analytics with Python - Taschenbuch

2016, ISBN: 1785882716

[EAN: 9781785882715], Neubuch, [PU: Packt Publishing Limited, United Kingdom, Birmingham], JOSEPH BABCOCK MASTERING PREDICTIVE ANALYTICS WITH PYTHON, Exploit the power of data in your bus… Mehr…

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2016, ISBN: 1785882716

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Mastering Predictive Analytics with Python - Taschenbuch

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Mastering Predictive Analytics with Python - Taschenbuch

2016, ISBN: 9781785882715

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Babcock, Joseph:
Mastering Predictive Analytics with Python - neues Buch

2016, ISBN: 1785882716

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Details zum Buch
Mastering Predictive Analytics with Python

Key Features

Master open source Python tools to build sophisticated predictive modelsLearn to identify the right machine learning algorithm for your problem with this forward-thinking guideGrasp the major methods of predictive modeling and move beyond the basics to a deeper level of understanding

Book Description

The volume, diversity, and speed of data available has never been greater. Powerful machine learning methods can unlock the value in this information by finding complex relationships and unanticipated trends. Using the Python programming language, analysts can use these sophisticated methods to build scalable analytic applications to deliver insights that are of tremendous value to their organizations.

In Mastering Predictive Analytics with Python, you will learn the process of turning raw data into powerful insights. Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications and how to quickly apply these methods to your own data to create robust and scalable prediction services.

Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates not only how these methods work, but how to implement them in practice. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring the insights of predictive modeling to life

What you will learn

Gain an insight into components and design decisions for an analytical applicationMaster the use Python notebooks for exploratory data analysis and rapid prototypingGet to grips with applying regression, classification, clustering, and deep learning algorithmsDiscover the advanced methods to analyze structured and unstructured dataFind out how to deploy a machine learning model in a production environmentVisualize the performance of models and the insights they produceScale your solutions as your data grows using PythonEnsure the robustness of your analytic applications by mastering the best practices of predictive analysis

About the Author

Joseph Babcock has spent almost a decade exploring complex datasets and combining predictive modeling with visualization to understand correlations and forecast anticipated outcomes. He received a PhD from the Solomon H. Snyder Department of Neuroscience at The Johns Hopkins University School of Medicine, where he used machine learning to predict adverse cardiac side effects of drugs. Outside the academy, he has tackled big data challenges in the healthcare and entertainment industries.

Table of Contents

From Data to Decisions – Getting Started with Analytic ApplicationsExploratory Data Analysis and Visualization in PythonFinding Patterns in the Noise – Clustering and Unsupervised LearningConnecting the Dots with Models – Regression MethodsPutting Data in its Place – Classification Methods and AnalysisWords and Pixels – Working with Unstructured DataLearning from the Bottom Up – Deep Networks and Unsupervised FeaturesSharing Models with Prediction ServicesReporting and Testing – Iterating o

Detailangaben zum Buch - Mastering Predictive Analytics with Python


EAN (ISBN-13): 9781785882715
ISBN (ISBN-10): 1785882716
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2016
Herausgeber: Packt Publishing Limited

Buch in der Datenbank seit 2016-11-06T18:43:00+01:00 (Berlin)
Detailseite zuletzt geändert am 2023-11-25T00:54:41+01:00 (Berlin)
ISBN/EAN: 1785882716

ISBN - alternative Schreibweisen:
1-78588-271-6, 978-1-78588-271-5
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: babcock
Titel des Buches: think python, mastering, predictive analytics


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